20 citations · 20 across the 2 of their papers we have counts for
3 papers · 1 filter
Investigating Quantum Many-Body Systems with Tensor Networks, Machine Learning and Quantum Computers
Korbinian Kottmann
We perform quantum simulation on classical and quantum computers and set up a machine learning framework in which we can map out phase diagrams of known and unknown quantum many-bo…
Unsupervised mapping of phase diagrams of 2D systems from infinite projected entangled-pair states via deep anomaly detection
Korbinian Kottmann, Philippe Corboz, Maciej Lewenstein +1
We demonstrate how to map out the phase diagram of a two dimensional quantum many body system with no prior physical knowledge by applying deep \textit{anomaly detection} to ground…
Unsupervised phase discovery with deep anomaly detection
Korbinian Kottmann, Patrick Huembeli, Maciej Lewenstein +1
We demonstrate how to explore phase diagrams with automated and unsupervised machine learning to find regions of interest for possible new phases. In contrast to supervised learnin…